Claude 3 Opus vs GPT-5 Mini
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude 3 Opus and GPT-5 Mini.
Claude 3 Opus
Claude 3 Opus is Anthropic's most powerful model from the first Claude 3 generation, engineered for deep analysis, comprehensive research, and demanding multi-step task execution. Released in March 2024, it represented the frontier of Anthropic's capabilities at the time, with a 200,000-token context window suitable for processing large documents, synthesizing diverse research sources, and generating expert-level written content. Priced at $15/MTok for input, Claude 3 Opus remains available for teams with specific requirements for Claude 3-generation behavior, though most use cases are better served by the improved Claude 4 series.
GPT-5 Mini
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
Technical Specifications
| Specification | Claude 3 Opus | GPT-5 Mini |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Context Window | 200,000 tokens | 400,000 tokens |
| Agent Suitability | N/A | 85/100 |
| Time to First Token (TTFT) | N/A | 180 ms |
| Deployment Model | N/A | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-03-04 | 2025-08-07 |
API Pricing Comparison
Input Price per Million Tokens
Claude 3 Opus
$15.00
GPT-5 Mini
$0.25
Output Price per Million Tokens
Claude 3 Opus
$75.00
GPT-5 Mini
$2.00
Want to test both models live?
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Claude 3 Opus Quirks & Gotchas
No developer gotchas reported.
GPT-5 Mini Quirks & Gotchas
- โธExcellent for high-frequency classification and routing tasks
- โธTool calling reliability drops on complex multi-step chains โ use GPT-5 for agentic workflows